Run a regression analysis on the following bivariate set of data with y as the response variable. x y 70.2 -67.3 8 115.8 52.6 -8.1 23.4 85.7 61.8 6.6 40.7 23.7 39 86.4 61.5 11.2 24.6 66.5 24.6 37.8...

Run a regression analysis on the following bivariate set of data withy as the response variable.

x	y
70.2	-67.3
8	115.8
52.6	-8.1
23.4	85.7
61.8	6.6
40.7	23.7
39	86.4
61.5	11.2
24.6	66.5
24.6	37.8
21.1	125
2.3	109.1

Find the correlation coefficient and report it accurate to three decimal places.

r =


What proportion of the variation iny can be explained by the variation in the values ofx? Report answer as a percentage accurate to one decimal place.  (If the answer is 0.84471, then it would be 84.5%...you would enter 84.5 without the percent symbol.)

r² = %


Based on the data, calculate the regression line (each value to three decimal places)


y =  + x


Predict what value (on average) for the response variable will be obtained from a value of 32.4 as the explanatory variable. Use a significance level of α=0.05α=0.05 to assess the strength of the linear correlation.


What is the predicted response value?  (Report answer accurate to one decimal place.)

y =